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Update component.yaml to kfp v2 sdk #259

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Sep 8, 2021
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Update component.yaml to kfp v2 sdk #259

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26 changes: 13 additions & 13 deletions mlops/kubeflow/bias_detector_pytorch/component.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -15,20 +15,20 @@ description: |
metadata:
annotations: {platform: 'OpenSource'}
inputs:
- {name: model_id, description: 'Required. Training model ID', default: 'training-dummy'}
- {name: model_class_file, description: 'Required. pytorch model class file', default: 'PyTorchModel.py'}
- {name: model_class_name, description: 'Required. pytorch model class name', default: 'PyTorchModel'}
- {name: feature_testset_path, description: 'Required. Feature test dataset path in the data bucket'}
- {name: label_testset_path, description: 'Required. Label test dataset path in the data bucket'}
- {name: protected_label_testset_path, description: 'Required. Protected label test dataset path in the data bucket'}
- {name: favorable_label, description: 'Required. Favorable label for this model predictions'}
- {name: unfavorable_label, description: 'Required. Unfavorable label for this model predictions'}
- {name: privileged_groups, description: 'Required. Privileged feature groups within this model'}
- {name: unprivileged_groups, description: 'Required. Unprivileged feature groups within this model'}
- {name: data_bucket_name, description: 'Optional. Bucket that has the processed data', default: 'training-data'}
- {name: result_bucket_name, description: 'Optional. Bucket that has the training results', default: 'training-result'}
- {name: model_id, type: String, description: 'Required. Training model ID', default: 'training-dummy'}
- {name: model_class_file, type: String, description: 'Required. pytorch model class file', default: 'PyTorchModel.py'}
- {name: model_class_name, type: String, description: 'Required. pytorch model class name', default: 'PyTorchModel'}
- {name: feature_testset_path, type: String, description: 'Required. Feature test dataset path in the data bucket'}
- {name: label_testset_path, type: String, description: 'Required. Label test dataset path in the data bucket'}
- {name: protected_label_testset_path, type: String, description: 'Required. Protected label test dataset path in the data bucket'}
- {name: favorable_label, type: String, description: 'Required. Favorable label for this model predictions'}
- {name: unfavorable_label, type: String, description: 'Required. Unfavorable label for this model predictions'}
- {name: privileged_groups, type: String, description: 'Required. Privileged feature groups within this model'}
- {name: unprivileged_groups, type: String, description: 'Required. Unprivileged feature groups within this model'}
- {name: data_bucket_name, type: String, description: 'Optional. Bucket that has the processed data', default: 'training-data'}
- {name: result_bucket_name, type: String, description: 'Optional. Bucket that has the training results', default: 'training-result'}
outputs:
- {name: metric_path, description: 'Path for fairness check output'}
- {name: metric_path, type: String, description: 'Path for fairness check output'}
implementation:
container:
image: aipipeline/bias-detector:pytorch
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